Abstract
In this paper an application of a new metaheuristic called population learning algorithm (PLA) to ANN training is investigated. The paper proposes implementation of the PLA to training feed-forward artificial neural networks. The approach is validated by means of computational experiment in which PLA algorithm is used to train ANN solving a variety of benchmarking problems. Results of the experiment prove that PLA can be considered as a useful and effective tool for training ANN.
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Czarnowski, I., Jedrzejowicz, P. (2003). An Approach to Artificial Neural Network Training. In: Bramer, M., Preece, A., Coenen, F. (eds) Research and Development in Intelligent Systems XIX. Springer, London. https://doi.org/10.1007/978-1-4471-0651-7_11
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DOI: https://doi.org/10.1007/978-1-4471-0651-7_11
Publisher Name: Springer, London
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